Journal article
Activation of innate-adaptive immune machinery by poly(I:C) exposes a therapeutic vulnerability to prevent relapse in stroma-rich colon cancer
- Abstract:
- Advancements in oncology, especially with the era of precision oncology, is resulting in a paradigm shift in cancer care. Indeed, innovative technologies, such as artificial intelligence, are paving the way towards enhanced diagnosis, prevention, and personalised treatments as well as novel drug discoveries. Despite excellent progress, the emergence of resistant cancers has curtailed both the pace and extent to which we can advance. By combining both their understanding of the fundamental biological mechanisms and technological advancements such as artificial intelligence and data science, cancer researchers are now beginning to address this. Together, this will revolutionise cancer care, by enhancing molecular interventions that may aid cancer prevention, inform clinical decision making, and accelerate the development of novel therapeutic drugs. Here, we will discuss the advances and approaches in both artificial intelligence and precision oncology, presented at the 59th Irish Association for Cancer Research annual conference
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 9.2MB, Terms of use)
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- Publisher copy:
- 10.1136/gutjnl-2021-326183
- Publication website:
- https://pure.ulster.ac.uk/ws/files/203813822/cancers-16-01989.pdf
Authors
+ Medical Research Council
More from this funder
- Funder identifier:
- 10.13039/501100000265
- Grant:
- MR/M016587/1
- Publisher:
- BMJ Publishing Group
- Journal:
- Gut More from this journal
- Volume:
- 71
- Issue:
- 12
- Pages:
- 2502-2517
- Publication date:
- 2022-04-27
- Acceptance date:
- 2022-03-12
- DOI:
- EISSN:
-
1468-3288
- ISSN:
-
0017-5749
- Language:
-
English
- Keywords:
- Pubs id:
-
1258850
- Local pid:
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pubs:1258850
- Source identifiers:
-
W4225003814
- Deposit date:
-
2026-04-24
- ARK identifier:
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Terms of use
- Copyright date:
- 2022
- Licence:
- CC Attribution (CC BY)
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